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Conversational Engagement Using a Short Message Service Chatbot After Total Joint Arthroplasty
Joshua P Rainey1, Emily A Treu1, Kevin J Campbell2
1Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.
Arthroplasty Today
|November 1, 2024
Summary
Conversational analytics via perioperative chatbots offer insights into patient outcomes after joint replacement surgery. Chatbot query topics and engagement levels correlate with recovery, aiding in predicting and managing patient needs.
Area of Science:
- Orthopaedic Surgery
- Digital Health
- Patient Outcomes Research
Background:
- Conversational analytics in orthopaedic surgery can reveal patient experiences and outcomes.
- This study explored patient interactions with a perioperative chatbot following joint replacement surgery.
Purpose of the Study:
- To assess patient engagement with a perioperative chatbot.
- To determine if chatbot query topics correlate with outcomes after total knee or hip arthroplasty.
Main Methods:
- Retrospective analysis of 1338 patients undergoing knee or hip arthroplasty (2020-2022).
- Recorded chatbot message volume and topics.
- Statistical analysis (t-tests, chi-squared, regressions) to link engagement/topics with demographics and outcomes.
Main Results:
- Lower chatbot interaction in readmitted patients (3.9 vs 12.7 messages).
- ED visits/readmissions linked to queries about walking and pain medication weaning.
- Queries about 'exercise' correlated with no ED visits or readmissions.
Conclusions:
- Chatbot query topics and engagement are associated with patient outcomes post-arthroplasty.
- Conversational analytics can provide valuable insights into the perioperative course of joint replacement patients.
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